विधियों की तुलना करें

	को-क्रिगिंग	यूनिवर्सल क्रिगिंग (प्रवृत्ति के साथ क्रिगिंग)
क्षेत्र	स्थानिक विश्लेषण	स्थानिक विश्लेषण
परिवार	Regression model	Regression model
उद्भव वर्ष	1963	1969
प्रवर्तक	Georges Matheron (geostatistics); multivariate extension	Georges Matheron
प्रकार	Multivariate geostatistical interpolation	Geostatistical interpolation with spatial trend
मौलिक स्रोत	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266.	Matheron, G. (1963). Principles of geostatistics. Economic Geology, 58(8), 1246–1266.
उपनाम	co-kriging, multivariate kriging, ortak kriging	kriging with a trend, kriging with drift, trend kriging, evrensel kriging
संबंधित	3	3
सारांश	Cokriging extends kriging to use one or more correlated secondary variables to improve prediction of a primary variable. When the variable of interest is sparsely sampled but a related, cheaper-to-measure variable is densely sampled, cokriging borrows strength from the secondary variable through their cross-correlation, yielding more accurate interpolations and prediction variances than kriging the primary variable alone.	Universal kriging generalizes ordinary kriging to data whose mean varies systematically across space — a spatial trend or 'drift'. It models the mean as a function of the coordinates (or covariates) and krigs the residuals, so it can interpolate variables that drift in a preferred direction, such as temperature falling with latitude or a pollutant gradient, while still returning prediction variances.